The plan listed below is designed to provide suggestions for sequencing your major courses, but there are also other ways to sequence most majors. This plan is meant to provide aid in early, provisional planning. Please consult with your academic advisor to make strategic academic decisions about which courses to take each semester.
Sample Plan: Data Science (Graduate Certificate)
The Data Science (Graduate Certificate) program requires a total of 15 credit hours to graduate from the program, divided into 5 courses over 3 semesters. This plan assumes a Spring semester entry term.
SPRING - Semester 1
A Term:
- PDAT 610G: Introduction to Data Science (3 cr)*
B Term:
- PDAT 611G: Big Data Management (3 cr)
SUMMER - Semester 2
8-Week Session:
- PDAT 613G: Data Mining (3 cr)
FALL - Semester 3
A Term:
- PDAT 615G: Machine Learning (3 cr)
B Term:
- PDAT 620G: Data Science Capstone (3 cr)
NOTES:
- 1st and 2nd Block courses are 8-weeks. Full-semester courses are 16-weeks.
- (*) - Prior to enrolling in the first data science course (PDAT 610G), students must have completed the equivalent to CS 170 (Intro to Computer Science) and STAT 190 (Basic Statistics).
- Students who have taken the equivalent to STAT 220 (Fundamentals of Data Science), STAT 250 (Statistical Computing), and other undergraduate courses in Data Science may be allowed to substitute another graduate course in the place of PDAT 610G.
Graduate Program Director: Please contact the Center for Academic Excellence (advise@truman.edu) with any updates to the plan above. Updated 9-19-2024
This is a sample course sequence to illustrate class offerings for this major. The Office of the Registrar is responsible for certifying completion of degree requirements based on requirements specified in Truman's Official Catalog.